In recent years, enormous progress has been made in the field of artificial intelligence (AI).
New methods support people in their daily and professional tasks and make it possible to automate many processes that previously required strenuous manual work.

A particularly important area of application for AI is anomaly detection, i.e. identifying data that deviates from the norm.
Examples include mutations in virology, cases of fraud in finance or faulty components in industrial production. However, current anomaly detectors are limited to applications where enormous amounts of training data are available. This is precisely where the “PIAD” research project comes in.